图像重采样双三次插值 Java

发布于 2024-09-27 05:50:04 字数 959 浏览 2 评论 0原文

我已调整图像大小,但其质量较低。我听说过双三次插值,但我无法获得任何实现代码。这是我的代码:

private static BufferedImage resize(BufferedImage image, int width, int height) 
{ 
    int w = image.getWidth(), h = image.getHeight();
    int type = image.getType() == 0? BufferedImage.TYPE_INT_ARGB : image.getType();
    BufferedImage resizedImage = new BufferedImage(width, height, type);
    Graphics2D g = resizedImage.createGraphics();
    g.setComposite(AlphaComposite.Src);
    g.setRenderingHint(RenderingHints.KEY_RENDERING,RenderingHints.VALUE_RENDER_QUALITY);
    g.setRenderingHint(RenderingHints.KEY_ANTIALIASING,RenderingHints.VALUE_ANTIALIAS_ON);
    g.setRenderingHint(RenderingHints.KEY_INTERPOLATION,RenderingHints.VALUE_INTERPOLATION_BICUBIC);

    //g.drawImage(image, 0, 0, width, height, null);
    g.scale((double)width/w,(double)height/h);
    g.drawRenderedImage(image, null);
    g.dispose();
    return resizedImage; 
}   

我想在上采样和下采样后获得最佳质量。

I have resized image but its quality is low. i heard of bicubic interpolation but i cant get any implementation code. Here is my code:

private static BufferedImage resize(BufferedImage image, int width, int height) 
{ 
    int w = image.getWidth(), h = image.getHeight();
    int type = image.getType() == 0? BufferedImage.TYPE_INT_ARGB : image.getType();
    BufferedImage resizedImage = new BufferedImage(width, height, type);
    Graphics2D g = resizedImage.createGraphics();
    g.setComposite(AlphaComposite.Src);
    g.setRenderingHint(RenderingHints.KEY_RENDERING,RenderingHints.VALUE_RENDER_QUALITY);
    g.setRenderingHint(RenderingHints.KEY_ANTIALIASING,RenderingHints.VALUE_ANTIALIAS_ON);
    g.setRenderingHint(RenderingHints.KEY_INTERPOLATION,RenderingHints.VALUE_INTERPOLATION_BICUBIC);

    //g.drawImage(image, 0, 0, width, height, null);
    g.scale((double)width/w,(double)height/h);
    g.drawRenderedImage(image, null);
    g.dispose();
    return resizedImage; 
}   

I want to get the best quality after upsampling and downsampling.

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三人与歌 2024-10-04 05:50:04

仅当您需要按某个非整数比例因子调整大小时,才需要双三次插值和其他插值方案。您可能缺少的是,您需要在下采样(缩小时)之前过滤图像,或者在上采样之后(扩展时)过滤图像以避免混叠伪影,这是一个完全不同的问题。这适用于整数和非整数比例因子。

Bicubic interpolation and other interpolation schemes are needed only when you need to resize by some non-integer scale factor. What you're probably missing is that you need to filter your image prior to downsampling (when shrinking) or filter after upsampling (when expanding) to avoid aliasing artefacts, which is an entirely different problem. This applies to both integer and non-integer scale factors.

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